Customers
NA
Noah Ali
dormantnoah.ali32@example.com · +447365104284
- Source
- mailchimp
- Last contacted
- 07 Oct 2024
- Mortgage renewal
- 31 Jul 2026
- Loan value
- £421,000
- Region
- South East
- Added
- 26 Nov 2023
first-time-buyer self-employed newsletter
Activity
-
Email opened — "It's been a while"
07 Oct 2024
-
Enrolled in Dormant Reactivation
26 Nov 2023
-
Imported from mailchimp
26 Nov 2023
AI scoring How these are scored
The model scores each contact 0–100 from their engagement history, recency of last contact, source quality, and profile signals (loan value, renewal timing).
Likelihood to respond — higher is better. Churn risk — higher means more likely to go cold. Scores refresh as new activity arrives.
Likelihood to respond 81
Churn risk 53
What's driving likelihood to respond
Engagement history 67
Recency of contact 83
Source quality 94
Profile & loan fit 71
Renewal timing 66
What's driving churn risk
Time since engagement 48
Contact frequency 68
Channel responsiveness 53
Relationship tenure 38
Best send time
Sat 10:00am
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.